Data Analytics Engineer / Architect (m/f/d)

Eucon GmbH; Munster; On-site; EUR 60,000 - 85,000; Full time

Benefits offered by this job

30 vacation days

Flexible working hours

Job bike leasing

Public transport tickets

Access to company doctor

Height-adjustable desks

Job summary

Eucon GmbH is looking for a Data Analytics Engineer / Architect to join their team in Munster, Ireland. This role involves designing scalable data transformation pipelines and developing data models to enable business insights.

The ideal candidate should have hands-on experience with Snowflake, advanced SQL skills, and a collaborative mindset for working with stakeholders to ensure data quality and consistency. The position offers various benefits including 30 vacation days, flexible working hours, and more.

Qualifications

• Expertise in SQL for data transformations and query performance.
• Hands-on experience with Snowflake and data modeling concepts.
• Effective collaboration with stakeholders to define data models.

Responsibilities

• Design and optimize scalable data transformation pipelines.
• Develop reusable business entities and KPIs for BI tools.
• Work closely with stakeholders to ensure data consistency.

Skills

SQL expertise

Data modeling

Snowflake

dbt

Data Vault 2.0

Anchor Modeling

Power BI

Job description

Infopro Digital, the B2B group specialising in information and technology, is currently looking for a Data Analytics Engineer / Architect (m/f/d) on a permanent contract to strengthen the team at its Business Unit Automotive.

The challenge awaiting you

As a Data Analytics Engineer / Architect (m/f/d), you will play a key role in shaping scalable data models and transformation pipelines, enabling reliable business insights and advanced analytics through high‑quality, well‑structured data. You’ll be contributing to a variety of projects, while developing your skills and reaching new levels of expertise.

• Design, build, and optimise scalable data transformation pipelines with a strong focus on SQL performance and efficiency, while maintaining robust dbt projects including models, tests, macros, and structured project setups
• Develop and evolve data models using dimensional modelling principles (e.g., star schemas) as well as Data Vault 2.0 and Anchor Modeling approaches in a combined modelling environment
• Define, standardise, and maintain business entities, KPIs, and metric logic as reusable assets, and provide semantic layers consumable by BI tools and machine learning use cases
• Work closely with business stakeholders to translate requirements into scalable data models, ensuring alignment, data consistency, and a single‑source‑of‑truth approach
• Leverage modern data platforms such as Snowflake and/or Databricks and contribute to collaborative, Git‑based development workflows including code reviews and best practices

About you

• Hands‑on expertise in Snowflake and its data modelling capabilities for defining business entities, KPIs, and building semantic layers for BI and advanced analytics use cases. Additional experience in Databricks is a plus.
• You bring advanced SQL expertise with a strong focus on transformations and query performance, combined with hands‑on experience in dbt (models, tests, macros, and project structure) and a deep understanding of data modelling concepts such as dimensional modelling as well as Data Vault 2.0 and Anchor Modeling (or a strong willingness to learn both).
• You collaborate effectively with business stakeholders and translate requirements into scalable data models, while maintaining high standards for data quality, harmonisation, and single‑source‑of‑truth principles within Git‑based development workflows.
• You would stand out with additional knowledge in Power BI (from a consumption perspective), experience with data testing frameworks (e.g., Great Expectations, DQX, Soda), familiarity with data cataloging and lineage tracking, as well as an understanding of feature engineering concepts for future ML use cases.

The benefits that await you

In addition to our range of benefits, such as 30 fixed vacation days per year and flexible working hours, this role offers you:

• Modern tech environment: Work with state‑of‑the‑art tools and technologies in a collaborative and forward‑thinking data environment.
• Cross‑functional teamwork: Close collaboration with various teams in an open and supportive working environment that supports continuous learning and skill development.
• Additional perks and benefits: Benefits such as job bike leasing, e‑charging stations, public transport tickets, access to a company doctor, and height‑adjustable desks in the office.